Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how ...

Applications Big Data and Analytics IT Management Why Machine Learning Projects Fail – and How to Make Sure They Don’t The first step to a successful ML project is to understand that these ...

This offering covers the end-to-end spectrum of ML services including data preparation, training, tuning, deploying, collaborating and sharing of machine learning models.

This article looks at 13 open source projects that are remaking the world of AI and machine learning. Some are elaborate software packages that support new algorithms.

Posted in how-to, Software Development Tagged darknet, machine learning, neural network, opencv, overfitting, pedestrian, YOLO, yolov3 ← CNC Turns A Single PCB Into Origami Hemisphere ...

Organizations create and deploy machine learning applications as Software-as-a-Service or use them for streamlining internal processes such as data entry operations, sales and marketing.

Machine learning frameworks like Google’s TensorFlow ease the process of acquiring data, training models, serving predictions, and refining future results.

But as machine learning models grow in number and size, they will require more training data. The AI Impact Series Returns to San Francisco - August 5 The next phase of AI is here - are you ready?